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Cited by 915

The DOI matches its Crossref record; 20 of the 20 references it cites were found in a registry or an index.

Assessing forest canopies and understorey illumination: canopy closure, canopy cover and other measures

Open access
Jennings, S.·1999·Forestry

Abstract

The forest canopy is one of the chief determinants of the microhabitat within the forest. It affects plant growth and survival, hence determining the nature of the vegetation, and wildlife habitat. A plethora of different techniques have been devised to measure the canopy. Evaluation of the literature reveals confusion over what is actually being measured. This paper distinguishes two basic types of measurement: canopy cover is the area of ground covered by a vertical projection of the canopy, while canopy closure is the proportion of the sky hemisphere obscured by vegetation when viewed from a single point. The principal techniques used to measure canopy cover, canopy closure, and a number of related measures are described and discussed. The advantages and limitations are outlined and some sampling guidelines are provided. The authors hope to clarify the nature of the measurements and to provide foresters with sufficient information to select techniques suitable for their needs.

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Crossref · 10.1093/forestry/72.1.59

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Metadata

Authors
Jennings, S.
Venue
Forestry
Published
1999-01-01
Volume
72
Issue
1
Pages
59-74
ISSN
  • 0015-752X (ISSN-L)
  • 1464-3626
OpenAlex
W2118935088
Cited by
915
References
20
FWCI
8.68
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: Assessing forest canopies and understorey illumination: canopy closure, canopy cover and other measures. https://app.cochat.ai/papers/10.1093/forestry/72.1.59
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Jennings, S. (1999). Assessing forest canopies and understorey illumination: canopy closure, canopy cover and other measures. Forestry. https://doi.org/10.1093/forestry/72.1.59

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.